Recently, meta-heuristic algorithms have made remarkable progress in solving types of
complex and NP-hard problems. So that, most of this algorithms are inspired by swarm …

The symbiotic organisms search algorithm is a very promising recent metaheuristic
algorithm. It has received a plethora of attention from all areas of numerical optimization …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

The traveling salesman problem (TSP) is one of the most intensively studied problems in
computational mathematics. This paper proposes a swarm intelligence approach using a …

This paper considers a variant of the classical capacitated vehicle routing problem called
clustered vehicle routing problem (CluVRP). In CluVRP, customers are grouped into …

Abstract Travelling Salesman Problem (TSP) is an Np-Hard problem, for which various
solutions have been offered so far. Using the Harris Hawk Optimization (HHO) algorithm, this …

Aiming at the problems of slow convergence speed, low solution quality, and easily falling
into a local optimum in solving traveling salesman problem (TSP) with genetic algorithm …

In this research, the effectiveness of a novel optimizer dubbed as decomposition-based multi-
objective symbiotic organism search (MOSOS/D) for multi-objective problems was explored …

In recent years, stealth aircraft penetration path planning has been a significant research
subject in the field of low altitude combat. However, previous works have mainly …

Abstract Social Learning Particle Swarm Optimization (SL-PSO) greatly improves the
optimization performance of PSO. In solving complex optimization problems, however, it still …